204222 - Fundamentals of Database Systems Chapter 9 Relational Database Design by ER and EERto-Relational Mapping Adapted for 204222 by Areerat Trongratsameethong Copyright 2011 Pearson Education, Inc. Publishing as Pearson Addison-Wesley
Chapter 9 Outline Relational Database Design Using ER-to- Relational Mapping Relational Database Design Using EER-to- Relational Mapping 2
Relational Database Design by ER- and EER-to-Relational Mapping Design a relational database schema Based on a conceptual schema design Seven-step algorithm to convert the basic ER model constructs into relations 3
Relational Database Design Using ERto-Relational Mapping 4
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ER-to-Relational Mapping Algorithm COMPANY database example Assume that the mapping will create tables with simple single-valued attributes Step 1: Mapping of Regular Entity Types For each regular entity type, create a relation R that includes all the simple attributes of E Called entity relations Each tuple represents an entity instance 6
ER-to-Relational Mapping Algorithm (cont d.) Step 2: Mapping of Weak Entity Types For each weak entity type, create a relation R and include all simple attributes of the entity type as attributes of R Include primary key attribute of owner as foreign key attributes of R 7
ER-to-Relational Mapping Algorithm (cont d.) 8
ER-to-Relational Mapping Algorithm (cont d.) Step 3: Mapping of Binary 1:1 Relationship Types For each binary 1:1 relationship type Identify relations that correspond to entity types participating in R Possible approaches: Foreign key approach: e.g. Employee manages department (total participation : every department has a manager, PK Employee FK in Department, otherwise a lot of NULL in Employee) Merged relationship approach: when both entities are total participation Cross reference or relationship relation approach: create third relation and keeps PK of both entities, disadvantage: have one more table and join is needed to join data from both 9
ER-to-Relational Mapping Algorithm (cont d.) Step 4: Mapping of Binary 1:N Relationship Types For each regular binary 1:N relationship type Identify relation that represents participating entity type at N-side of relationship type Include primary key of other entity type as foreign key in S Include simple attributes of 1:N relationship type as attributes of S Alternative approach Use the relationship relation (cross-reference) option as in the third option for binary 1:1 relationships 10
ER-to-Relational Mapping Algorithm (cont d.) Step 5: Mapping of Binary M:N Relationship Types For each binary M:N relationship type Create a new relation S Include primary key of participating entity types as foreign key attributes in S Include any simple attributes of M:N relationship type 11
ER-to-Relational Mapping Algorithm (cont d.) Step 6: Mapping of Multivalued Attributes For each multivalued attribute Create a new relation Primary key of R is the combination of A and K If the multivalued attribute is composite, include its simple components 12
ER-to-Relational Mapping Algorithm (cont d.) Step 7: Mapping of N-ary Relationship Types For each n-ary relationship type R Create a new relation S to represent R Include primary keys of participating entity types as foreign keys Include any simple attributes as attributes 13
Discussion and Summary of Mapping for ER Model Constructs 14
Discussion and Summary of Mapping for ER Model Constructs (cont d.) In a relational schema relationship, types are not represented explicitly Represented by having two attributes A and B: one a primary key and the other a foreign key 15
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Mapping EER Model Constructs to Relations Extending ER-to-relational mapping algorithm Step 8: Options for Mapping Specialization or Generalization, Convert each specialization with m subclasses {S1, S2,..., Sm} and (generalized) superclass C, where the attributes of C are {k, a1,...an} and k is the (primary) key, into relation schemas using one of the following 4 options: 8A 8D 17
Mapping of Specialization or Generalization Option 8A: Multiple relations superclass and subclasses. Create a relation L for C with attributes Attrs(L) = {k, a1,..., an} and PK(L) = k. Create a relation Li for each subclass Si,1 i m, with the attributes Attrs(Li) = {k} {attributes of Si} and PK(Li) = k. This option works for any specialization (total or partial, disjoint or overlapping). Option 8B: Multiple relations subclass relations only. Create a relation Li for each subclass Si, 1 i m, with the attributes Attrs(Li) = {attributes of Si} {k, a1,..., an} and PK(Li) = k. This option only works for a specialization whose subclasses are total (every entity in the superclass must belong to (at least) one of the subclasses). Additionally, it is only recommended if the specialization has the disjointedness constraint. If the specialization is overlapping, the same entity may be duplicated in several relations. 18
Mapping of Specialization or Generalization Option 8C: Single relation with one type attribute Create a single relation L with attributes Attrs(L) = {k, a1,..., an} {attributes of S1}... {attributes of Sm} {t} and PK(L) = k. The attribute t is called a type (or discriminating) attribute whose value indicates the subclass to which each tuple belongs, if any. This option works only for a specialization whose subclasses are disjoint, and has the potential for generating many NULL values if many specific attributes exist in the subclasses. Option 8D: Single relation with multiple type attributes Create a single relation schema L with attributes Attrs(L) = {k, a1,..., an} {attributes of S1}... {attributes of Sm} {t1, t2,..., tm} and PK(L) = k. Each ti, 1 i m, is a Boolean type attribute indicating whether a tuple belongs to subclass Si. This option is used for a specialization whose subclasses are overlapping (but will also work for a disjoint specialization). Mflag, Pflag 19
Mapping of Shared Subclasses (Multiple Inheritance) Apply any of the options discussed in step 8 to a shared subclass 20
Mapping of Categories (Union Types) Step 9: Mapping of Union Types (Categories) Defining superclasses have different keys Specify a new key attribute Surrogate key 21
Surrogate key 22
Summary Map conceptual schema design in the ER model to a relational database schema Algorithm for ER-to-relational mapping Illustrated by examples from the COMPANY database Include additional steps in the algorithm for mapping constructs from EER model into relational model 23